Offers Bayesian semiparametric density estimation
and tail-index estimation for heavy tailed data, by
using a parametric, tail-respecting transformation
of the data to the unit interval and then modeling
the transformed data with a purely nonparametric
logistic Gaussian process density prior. Based on
Tokdar et al. (2022)